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Data Annotation Analyst Jobs in California (NOW HIRING)

Applied Intuition

Data Quality Specialist

Sunnyvale, CA · On-site

$30 - $45/hr

Familiarity with data annotation tools and workflows * Experience with data validation techniques and quality control processes for AV domain * Attention to detail and analytical mindset * Experience ...

Abaka AI

Quality Project Associate

Mountain View, CA · On-site

... AI data annotation programs. Responsibilities : • Build and improve quality assurance and ... analytical thinking and root cause analysis capabilities • Understanding of crowdsourcing ...

TSMG

AI/ML Data Contributor

Los Angeles, CA

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

TSMG

AI/ML Data Contributor

Los Angeles, CA

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

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All JobsData Annotation Analyst JobsData Annotation Analyst Jobs in California

Data Annotation Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do data annotation analyst jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data annotation analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What does a typical day look like for a Data Annotation Analyst?

As a Data Annotation Analyst, your day usually involves reviewing various data types (like images, text, or audio) and applying precise labels or tags according to specific project guidelines. You may participate in regular team meetings to clarify instructions, resolve ambiguities, and update productivity targets. Routine feedback sessions with quality assurance teams are common to ensure consistency and accuracy in the annotated data. Collaboration with data scientists or machine learning engineers might also occur to improve annotation processes or address edge cases. The work environment is typically structured, with deadlines and accuracy benchmarks guiding daily activities.

What are the key skills and qualifications needed to thrive in the Data Annotation Analyst position, and why are they important?

To excel as a Data Annotation Analyst, you need strong attention to detail, analytical abilities, and familiarity with data labeling processes, often supported by a relevant degree or experience in data handling. Proficiency with specialized annotation tools (such as Labelbox or CVAT), spreadsheet software, and sometimes scripting languages is highly valued. Excellent communication skills, adaptability, and the ability to work independently or collaboratively are crucial soft skills in this role. These skills ensure accurate, high-quality data annotations that are essential for training reliable machine learning models.

What is a Data Annotation Analyst job?

A Data Annotation Analyst is responsible for labeling, tagging, and categorizing data to help train and improve machine learning models. They work with text, images, audio, or video, ensuring that datasets are accurate and high-quality. This role requires attention to detail, consistency, and familiarity with annotation guidelines to enhance AI performance.

What are the most commonly searched types of Data Annotation Analyst jobs in California? The most popular types of Data Annotation Analyst jobs in California are:
What are popular job titles related to Data Annotation Analyst jobs in California? For Data Annotation Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Annotation Analyst jobs in California look for? The top searched job categories for Data Annotation Analyst jobs in California are:
Data Annotation Analyst jobs near you
Infographic showing various Data Annotation Analyst job openings in California as of June 2026, with employment types broken down into 8% Locum Tenens, 29% Internship, 5% As Needed, 25% Full Time, 28% Part Time, and 5% Temporary. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.
Data Annotation Specialist - South Bay, CA (On Site)

Data Annotation Specialist - South Bay, CA (On Site)

Welo Data

Menlo Park, CA

Full-time

Posted 26 days ago

Job description

OVERVIEW

Welo Data is looking for a skilled Data Analyst to join our team and contribute to advancing AI technologies. This role offers a unique opportunity to engage directly with cutting-edge AI products, supporting the refinement and performance of machine learning models through precise data analysis and quality assurance.

Project Details
Job Title: Data Analyst
Location: Bay Area, CA (Onsite)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee

Must have valid work authorization in the US (Welocalize does not sponsor VISAs at this time).

This role is an incredible chance to be at the forefront of AI technology, helping shape the future by testing new products, updating machine learning models, and ensuring high-quality data for impactful AI solutions.
Key Responsibilities
  • Test new AI products and provide actionable feedback to improve functionality and user experience.
  • Conduct detailed data annotation and quality assurance of natural language datasets following established guidelines.
  • Collaborate in updating and refining machine learning models to boost accuracy and effectiveness.
  • Analyze data for consistency, relevancy, and alignment with project goals.
  • Perform quality control to identify and report anomalies, error patterns, and discrepancies.
  • Use basic data analysis methods to extract insights and support continuous improvement.
  • Prepare clear and concise reports on findings, including observations on data quality, AI model performance, and user feedback.
Preferred Qualifications
  • University degree in linguistics, translation, or a related field.
  • 3-5 years of professional linguistics experience.
  • Strong analytical skills with the ability to detect patterns and anomalies.
  • Excellent communication skills and the ability to work collaboratively in a fast-paced environment.
  • Adaptability to evolving priorities and project requirements.
Benefits
  • Paid Sick Time & Paid Holiday (combined): 15 days
  • Paid Holidays: Memorial Day and Labor Day
  • Medical Insurance (subject to eligibility requirements)
  • Dental Insurance
  • Vision Insurance
  • Health Savings Account (HSA)
  • Voluntary Life Insurance
  • Accident, Critical Illness, and Hospital Indemnity Insurance
  • Telemedicine Benefit
  • 401(k) Retirement Plan
  • Employee Assistance Program
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.

To know more details (Click here)

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.


As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.